Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14626
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorUSMAN, Muhammad-
dc.contributor.authorYASAR, Ansar-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorJANSSENS, Davy-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2013-03-06T08:08:17Z-
dc.date.available2013-03-06T08:08:17Z-
dc.date.issued2013-
dc.identifier.citation92nd TRB Annual Meeting Compendium of Papers DVD, p. 1-15-
dc.identifier.urihttp://hdl.handle.net/1942/14626-
dc.description.abstractThe concept of rescheduling is essential to activity-based modeling in order to calculate effects of both unexpected incidents and adaptation of individuals to traffic demand management measures. When collaboration between individuals is involved or timetable based public transportation modes are chosen, rescheduling becomes complex. This paper describes a new framework to investigate algorithms for rescheduling on a large scale. The framework explicitely models the information flow between traffic information services and travelers. It combines macroscopic traffic assignment with microscopic simulation of agents adapting their schedules. Perception filtering is introduced to allow for traveler specific interpretation of perceived macroscopic data and information going unnoticed; it feeds person specific short term predictions required for schedule adaptation. Individuals are assumed to maximize schedule utility. Initial agendas are created by the FEATHERS activity-based schedule generator for mutually independent individuals using an undisturbed loaded transportation network. The new framework allows both agent behavior and external phenomena to influence the transportation network state; individuals interpret the state changes via perception filtering and start adapting their schedules; again affecting the network via updated traffic demand. The first rescheduler investigated uses marginal utility that monotonically decreases with activity duration and a monotonically converging relaxation algorithm to efficiently determine the new activity timing. The current framework implementation can support re-timing, re-location and activity re-sequencing; re-routing however is the subject of future research.-
dc.language.isoen-
dc.publisherTransportation Research Board-
dc.titleFramework to Evaluate Rescheduling due to Unexpected Events in an Activity-Based Model-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate13-17 January 2013-
local.bibliographicCitation.conferencename92nd Annual Meeting Transportation Research Board-
local.bibliographicCitation.conferenceplaceWashington, U.S.A.-
dc.identifier.epage15-
dc.identifier.spage1-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.bibliographicCitation.btitle92nd TRB Annual Meeting Compendium of Papers DVD-
item.fulltextWith Fulltext-
item.contributorWETS, Geert-
item.contributorKNAPEN, Luk-
item.contributorBELLEMANS, Tom-
item.contributorUSMAN, Muhammad-
item.contributorYASAR, Ansar-
item.contributorJANSSENS, Davy-
item.fullcitationKNAPEN, Luk; USMAN, Muhammad; YASAR, Ansar; BELLEMANS, Tom; JANSSENS, Davy & WETS, Geert (2013) Framework to Evaluate Rescheduling due to Unexpected Events in an Activity-Based Model. In: 92nd TRB Annual Meeting Compendium of Papers DVD, p. 1-15.-
item.accessRightsOpen Access-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
knapenresc (1).pdf257.18 kBAdobe PDFView/Open
Show simple item record

Page view(s)

20
checked on Jul 1, 2022

Download(s)

8
checked on Jul 1, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.